Outputs (2296)

Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks (2019)
Journal Article

A new algorithm is proposed to estimate the tool-tissue force interaction in robot-assisted minimally invasive surgery which does not require the use of external force sensing. The proposed method utilizes the current of the motors of the surgical in... Read More about Estimation of tool-tissue forces in robot-assisted minimally invasive surgery using neural networks.

Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices (2019)
Journal Article

Exposure to extreme weather conditions increases power systems’ vulnerability in front of high impact, low probability contingency occurrence. In the post-restructuring years, due to the increasing demand for energy, competition between electricity m... Read More about Bi-objective optimization model for optimal placement of thyristor-controlled series compensator devices.

The Clean Air Strategy 2019. Is this a new start for the management of air quality? (2019)
Presentation / Conference Contribution

Introduction and context A brief overview of the UK’s air pollution problem The Clean Air Strategy 2019 – aims and intentions Evaluating the Strategy Conclusions The new strategy was published in January 2019. The foreword by the Secretary... Read More about The Clean Air Strategy 2019. Is this a new start for the management of air quality?.

Evidence from ClairCity: Citizen demand for a clean air, low carbon, healthy city (2019)
Presentation / Conference Contribution

National Clean Air Day – what are we doing to advance the achievement of clean air for all? (2019)
Presentation / Conference Contribution

Introduction and welcome Brief summary of the air quality challenge Discussion on the role of Universities and Colleges in addressing air quality Conclusions and a draft statement on the role of Universities and Colleges in achieving clean ai... Read More about National Clean Air Day – what are we doing to advance the achievement of clean air for all?.

Applying social practice theory to contemporary working practices in sustainable office buildings: Implications for the performance gap (2019)
Thesis

The UK Government has committed to an 80% reduction of Greenhouse Gas (GHG) against 1990 levels by 2050. Widening understandings of the environmental impact of the built environment have fuelled debates around how the environmental performance of bui... Read More about Applying social practice theory to contemporary working practices in sustainable office buildings: Implications for the performance gap.

An ontology-based i* goal-oriented referential integrity model in systems of systems context (2019)
Journal Article

System of Systems (SoS) results from the integration of a set of independent Constituent Systems (CS) that could be socio or technical, in order to offer unique functionalities. SoS is largely driven by stakeholders’ needs and goals taking into consi... Read More about An ontology-based i* goal-oriented referential integrity model in systems of systems context.

Bristol’s 2030 carbon neutrality goal. Some observations from the Urban ID Project (2019)
Presentation / Conference Contribution

Scope of Presentation Introduction to Urban ID Some Definitions and Statistics The Green House Gas Protocol The Urban ID Approach Boundary and Emission Questions A Pathway to Carbon Neutrality Supporting Behaviour Change How Can UWE Help?... Read More about Bristol’s 2030 carbon neutrality goal. Some observations from the Urban ID Project.

New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion (2019)
Journal Article

Nonlinear optimization problems with dynamical parameters are widely arising in many practical scientific and engineering applications, and various computational models are presented for solving them under the hypothesis of short-time invariance. To... Read More about New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion.

Composite learning adaptive backstepping control using neural networks with compact supports (2019)
Journal Article

© 2019 John Wiley & Sons, Ltd. The ability to learn is crucial for neural network (NN) control as it is able to enhance the overall stability and robustness of control systems. In this study, a composite learning control strategy is proposed for a... Read More about Composite learning adaptive backstepping control using neural networks with compact supports.